JW (Cayman) Therapeutics Co (JWCTF) Fair Value & Analysis
Healthcare · US · Market cap $98.9M
Fair value as of: Jun 25, 2026
Analysis
JW (Cayman) Therapeutics Co (JWCTF) currently trades at $0.2375, while our model-based Fair Value estimate is $1.22 — implying the stock looks roughly 413.7% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
JW (Cayman) Therapeutics Co. Ltd, a clinical stage cell therapy company, engages in the research and development, manufacture, and marketing of cellular immunotherapy products in the People's Republic of China. The company offers cell-based immunotherapies, including CAR-T treatment, a treatment method that uses human immune cells to fight cancer. It offers Carteyva, JWCAR201, and JWCAR239 for the treatment of hematological malignancies, advanced relmacabtagene autoleucel injection ("relma-cel") as a potential treatment for systemic lupus erythematosus ("SLE"), and progressed development of products for the treatment of solid tumors, as well as systemic lupus erythematosus (SLE), a chronic autoimmune disease. The company's products pipeline includes JWCAR129, a chimeric antigen receptor (CAR) construct therapy for use in the treatment of multiple myeloma; and JWCAR201, a dual targeting autologous CAR T-cell therapy for use in the treatment of B-cell malignancies and autoimmune disea…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.